Published in: مجله هوش مصنوعی و داده کاوی، دوره: 4، شماره: 1
COI code: JR_JADM-4-1_010
Paper Language: English
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Authors Governor design for hydropower plants by intelligent sliding mode variable structure controlD. Qian - School of Control & Computer Engineering, North China Electric Power University, Changping District, Beijing, China.
L. Yu - School of Control & Computer Engineering, North China Electric Power University, Changping District, Beijing, China.
Abstract:This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. Considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. By linearizing this mode, a sliding mode controller is designed. The linearized mode is subject to uncertainties. The uncertainties are generated in the process of linearization. A radial basis function (RBF) neural network is introduced to compensate for the uncertainties. The update formulas for the neural networks are derived from the Lyapunov direct method. For the chattering phenomenon of the sliding mode control, a fuzzy logic inference system is adopted. In the sense of Lyapunov, the asymptotical stability of the system can be guaranteed. Compared with the internal mode control and the conventional PID control method, some numerical simulations verify the feasibility and robustness of the proposed scheme.
Keywords:Hydropower Plant, Speed Governor, Water Hammer, Neural network, fuzzy logic, Sliding mode control, chattering
COI code: JR_JADM-4-1_010
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Qian, D. & L. Yu, 2016, Governor design for hydropower plants by intelligent sliding mode variable structure control, Journal of Artificial Intelligence & Data Mining 4 (1), https://www.civilica.com/Paper-JR_JADM-JR_JADM-4-1_010.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Qian, D. & L. Yu, 2016)
Second and more: (Qian & Yu, 2016)
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